Unlike AI, which has driven a surge in demand for graphics processors to train and run large language models, quantum computing targets a different class of challenges. Researchers say the technology could accelerate molecular simulations, optimize complex logistics networks, advance materials science and improve cryptography.
Krishna said IBM has already demonstrated some of that potential, using quantum computers to uncover properties of materials that conventional computers had been unable to model. Those insights could eventually contribute to longer-lasting batteries, new materials, fusion energy research and drug discovery.
Growing confidence around commercialization has been matched by rising investment. In May, IBM announced plans for a standalone quantum chip foundry backed by a $1 billion commitment from the U.S. Department of Commerce through the CHIPS incentive program, alongside a matching $1 billion investment from the…
